Top Data & Analytics Jobs in Washington, DC

Perform contract and funding oversight for assigned groups: prepare and validate funding documents, review purchase requests, track obligations and burn rates, manage contract modifications, analyze data and build reports/dashboards, support dispute briefings, coordinate with finance/contracting/program teams, and author SOPs to improve acquisition and funding processes.

Support product, content, and revenue teams by building and maintaining dashboards, performing ad hoc analyses of user engagement and monetization, validating data quality, and analyzing A/B test results to translate findings into clear insights that inform product and business decisions.

As a Data Scientist focused on policy, you'll analyze data to inform policy discussions, support partnerships, and measure impact on public perception. You'll collaborate cross-functionally to create clear evidence and frameworks for AI policy communications.

Support data validation, cleansing, metadata and records management for Head Start grant recipients. Maintain data processes, run basic SQL queries, produce reports, monitor data quality metrics, manage document repositories, support data governance and compliance, and collaborate with stakeholders to resolve data issues and improve workflows.

Gather and document business requirements for GRC implementations, translate regulatory needs into functional specs, build dashboards/reports (SoD, remediation, control effectiveness), support client onboarding and process mapping, manage Agile ceremonies in JIRA/Confluence, and prepare audit-ready documentation while liaising between compliance stakeholders and technical delivery.

Develop and design data pipelines, optimize data delivery and automate processes to support end-to-end solutions in various settings.

The Business Analyst will review medical records, submit appeals to insurers, analyze data, prepare reports, and lead projects.

Design, build, and maintain cloud-native ETL/ELT pipelines on AWS. Implement transformations with Python, PySpark, or SQL; orchestrate workflows; optimize storage (S3, Redshift, RDS, DynamoDB); enforce data quality, security, and monitoring; collaborate on CI/CD and infrastructure-as-code; troubleshoot production issues.

Develop and support Informatica ETL solutions (~70% development, 30% support). Build error-handling frameworks with Autosys/Control-M/Tidal, configure PowerCenter grid, use IDQ and MDM, perform performance tuning, Unix scripting, Teradata/SQL work, and data profiling/cleansing/standardization. Work includes Informatica Cloud and MDM tool tasks.

Design and implement enterprise data architectures, define data governance and modeling standards, collaborate with stakeholders, document data structures, evaluate data management technologies, and support data integration for analytics and business needs.